Build Powerful Chatbots

Leverage LLMs with RAG, LangChain and Prompt Engineering

A Hands-on Seminar for Developers

Main Speaker

Guest Speaker

מרצה אורח

Learning Tracks

Course ID

42575

Date

03/12/2024

Time

Daily seminar
9:00-16:30

Location

John Bryce ECO Tower, Homa Umigdal 29 Tel-Aviv

Overview

Master the art of building intelligent chatbots! This one-day, hands-on seminar equips developers with the skills to leverage Large Language Models (LLMs) alongside Retrieval-Augmented Generation (RAG) and LangChain for crafting powerful and engaging chatbot conversations. Through practical exercises, you’ll gain expertise in prompt engineering, a crucial technique for guiding LLMs towards desired responses.

Who Should Attend

Developers

Prerequisites

  • Solid Expertise in Python: This seminar is designed for developers with a strong foundation in Python programming.
  • Familiarity with LLMs

Course Contents

Large Language Models (LLMs):
  • Introduction to LLMs and their capabilities
  • Different LLM architectures (e.g., Transformer-based models)
  • Understanding LLM limitations and biases
Retrieval-Augmented Generation (RAG):
  • Core principles of RAG for chatbot conversations
  • RAG components: Retriever and Generator models
  • Benefits of using RAG in chatbots
  • Hands-on lab: Implementing a basic RAG chatbot
LangChain:
  • Introduction to LangChain functionalities
  • Leveraging LangChain for multi-step conversations and context management
  • Hands-on lab: Enhancing chatbot capabilities with LangChain
Prompt Engineering:
  • Importance of prompt design for effective LLM communication
  • Techniques for crafting clear and informative prompts
  • Advanced prompt engineering: incorporating context, user intent, and desired outputs
  • Examples of effective prompts for different chatbot scenarios

The conference starts in

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